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J Comp Neurol. 2016 Jan 1;524(1):8-22. doi: 10.1002/cne.23913.

The Resource Identification Initiative: A Cultural Shift in Publishing.

Author information

1
Center for Research in Biological Systems, UCSD, La Jolla, California, USA.
2
Oregon Health & Science University (OHSU) Library, Department of Medical Informatics & Clinical Epidemiology, Portland, Oregon, USA.
3
University of Massachusetts Medical School, Department of Psychiatry, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
4
Karolinska Institutet, Stockholm, Sweden.
5
Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
6
Scientific Outreach Executive, London, UK.
7
John Wiley & Sons, Hoboken, New Jersey, USA.
8
Lawrence Berkeley National Laboratory, Berkeley, California, USA.
9
Elsevier, Amsterdam, the Netherlands.

Abstract

A central tenet in support of research reproducibility is the ability to uniquely identify research resources, i.e., reagents, tools, and materials that are used to perform experiments. However, current reporting practices for research resources are insufficient to identify the exact resources that are reported or to answer basic questions such as "How did other studies use resource X?" To address this issue, the Resource Identification Initiative was launched as a pilot project to improve the reporting standards for research resources in the Methods sections of articles and thereby improve identifiability and scientific reproducibility. The pilot engaged over 25 biomedical journal editors from most major publishers, as well as scientists and funding officials. Authors were asked to include Research Resource Identifiers (RRIDs) in their articles prior to publication for three resource types: antibodies, model organisms, and tools (i.e., software and databases). RRIDs are assigned by an authoritative database, for example, a model organism database for each type of resource. To make it easier for authors to obtain RRIDs, resources were aggregated from the appropriate databases and their RRIDs made available in a central Web portal (http://scicrunch.org/resources). RRIDs meet three key criteria: they are machine-readable, free to generate and access, and are consistent across publishers and journals. The pilot was launched in February of 2014 and over 300 articles have appeared that report RRIDs. The number of journals participating has expanded from the original 25 to more than 40, with RRIDs appearing in 62 different journals to date. Here we present an overview of the pilot project and its outcomes to date. We show that authors are able to identify resources and are supportive of the goals of the project. Identifiability of the resources post-pilot showed a dramatic improvement for all three resource types, suggesting that the project has had a significant impact on identifiability of research resources.

KEYWORDS:

Resource Identification Initiative; identifiability; research resources

PMID:
26599696
PMCID:
PMC4684178
DOI:
10.1002/cne.23913
[Indexed for MEDLINE]
Free PMC Article

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